In an earlier paper, I described in some detail how a system based on symbolic knowledge representation and reasoning could model and reason about an act of deception encountered in a children's story. This short position paper extends that earlier work, adding new analysis and discussion about the nature of deception, the desirability of building deceptive AI systems, and the computational mec...

We explore the indirect network effect in the market for home video games. We examine the video game console makers’ strategic choice between increasing demand by lowering console price and by encouraging the growth of software variety. We also explore the existence of an applications barrier to entry in the console market, and find that there is little evidence for such a barrier. Finally, we ...

This paper will look at the various predictions that have been made about AI and propose decomposition schemas for analyzing them. It will propose a variety of theoretical tools for analyzing, judging, and improving these predictions. Focusing specifically on timeline predictions (dates given by which we should expect the creation of AI), it will show that there are strong theoretical grounds t...

In the present article, a specified Pedagogical Infrastructure Framework, including technical, social, epistemological and cognitive components, is introduced as a conceptual tool for design-based research to examine the design of complex learning settings. The applicability of the framework was assessed by retrospectively exploring an evolving design effort in four, consecutive, undergraduate ...

This investigation documented the interpretation of the Chief Information Officer (CIO) and Chief Technology Officer (CTO) roles on the senior management team of a financial organization. Confidential one-on-one interviews were conducted to document research participant’s interpretations. A qualitative approach was adopted, employing Narrative Inquiry to document these interpretations. Results ...

Knowledge Management and AI & Law are two areas of research with overlapping topics. At present, these areas are infrequently investigated together. In this paper it is argued that addressing these areas together would be for their mutual benefit and progress. It could prevent re-inventing the wheel on both sides.

AI systems are now or will soon be sophisticated enough to make consequential decisions. Although this technology has flourished, we also need public appraisals of AI systems playing these more important roles. This article reports surveys of preferences for and against AI systems making decisions in various domains as well as experiments that intervene on these preferences. We find that these ...

Today’s AI applications are so successful that they inspire renewed concerns about AI systems becoming ever more powerful. Addressing these concerns requires AI systems that are designed as ethical systems, in the sense that their choices are context-dependent, valueguided and rule-following. It is shown how techniques connecting qualitative and quantitative primitives recently developed for ev...

In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence (the doctrine of 'mental logic') coming from research carried out in artificial intelligence (AI). The most well known arguments against the AI-approach are presented and discussed in relation to expertise, intuition and implicit knowledge. Th...

The majority of previous work in Distributed AI (DAI) has concentrated on cooperation between similar agents. Such agents typically have homogeneous structures (e.g. BEINGS [Lenat75] or DVMT [Lesser&80]), are capable of carrying out identical tasks (eg Air Traffic Control [Cammarata&83]) or are assumed to have identical domains of discourse. However such cosy assumptions and the way they simpli...